# Install libvmaf with Homebrew, apk, dnf, MacPorts, Nix, pacman, scoop, zypper Perceptual video quality assessment based on multi-method fusion. Version 3.2.0 via Homebrew; verified 2026-06-20. ## Install ```sh sudo av install brew:libvmaf ``` Additional install commands: ### macOS - Homebrew (100%): ```sh brew install libvmaf ``` Evidence: local Homebrew formula metadata - MacPorts (94%): ```sh sudo port install libvmaf ``` Evidence: MacPorts ports tree: multimedia/libvmaf/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1 ### Linux - apk (92%): ```sh sudo apk add libvmaf ``` Evidence: Alpine Linux edge package indexes: libvmaf from https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz - dnf (92%): ```sh sudo dnf install libvmaf ``` Evidence: Fedora Rawhide package metadata: libvmaf from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst - Nix (92%): ```sh nix profile install nixpkgs#libvmaf ``` Evidence: nixpkgs package indexes: pkgs/by-name/li/libvmaf/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1 - pacman (92%): ```sh sudo pacman -S vmaf ``` Evidence: Arch Linux sync databases: vmaf from https://geo.mirror.pkgbuild.com/extra/os/x86_64/extra.db.tar.gz - zypper (92%): ```sh sudo zypper install libvmaf3 ``` Evidence: openSUSE Tumbleweed package metadata: libvmaf3 from https://download.opensuse.org/tumbleweed/repo/oss/repodata/be8d3611d25469107f32075a1697e69ec57a2b850b42348a658cc671ad5ec2b50760d02c3e59524d50da9a11d5be799bdaffba2e166e8ca8858512e3c0bd665d-primary.xml.zst ### Windows - Scoop (92%): ```sh scoop install main/vmaf ``` Evidence: Scoop official bucket manifest trees: bucket/vmaf.json from https://api.github.com/repos/ScoopInstaller/Main/git/trees/master?recursive=1 ## Package facts - **Package key:** brew:libvmaf - **Package manager:** Homebrew - **Package manager page:** - **Version:** 3.2.0 - **Source summary:** Perceptual video quality assessment based on multi-method fusion - **Homepage:** - **Repository:** - **Upstream docs:** - **License:** BSD-2-Clause-Patent - **Source archive:** - **Last updated:** 2026-06-20T15:12:41Z - **Generated:** 2026-07-08T07:18:31+00:00 ## Executables - vmaf (cli) - vmaf (alias) ## Build dependencies - meson - ninja ## Install behavior - Post-install hook: not defined - Bottle: available on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux ## Freshness - Page generated: 2026-07-08 - Package-manager version: 3.2.0 - Package-manager updated: 2026-06-20 - Local data: ok - Upstream repository: https://github.com/Netflix/vmaf - Upstream latest detected: v3.2.0 (current) ## Project history and usage VMAF, packaged by Homebrew as libvmaf, is Netflix's open-source implementation of Video Multi-Method Assessment Fusion, a perceptual video-quality metric for comparing encoded video against a reference. The package matters because it turns a research metric into a command-line tool, C library, Python tooling, and FFmpeg-integrated workflow used by video engineers rather than only by researchers. ### Project history Netflix developed VMAF to better predict viewer-perceived streaming video quality than simple signal metrics such as PSNR. Netflix's own reference list traces VMAF through earlier academic work on fusion-based video quality assessment and notes that the project was open-sourced on GitHub in June 2016. The first public implementation combined a C feature-extraction core with Python control code for experimentation. By October 2018 Netflix described the addition of a standalone executable, AVX acceleration in December 2016, frame-level multithreading in June 2018, and the packaging of the implementation as libvmaf with help from the FFmpeg community. ### Adoption history VMAF became part of practical codec evaluation because Netflix used it for production encoding decisions, Dynamic Optimizer workflows, and A/B experimentation around video quality. The GitHub README also documents FFmpeg support through configure --enable-libvmaf and AOM common test-condition usage, which made the library a package-manager staple for video-toolchain builds. ### How it is used Package users install libvmaf to run the vmaf command, link the C library into quality-analysis tools, train or test models with the Python layer, or enable FFmpeg's libvmaf filter. It is especially useful when comparing encoders, bitrates, resolutions, or codec changes on a perceptual scale. ### Why package nerds care For package nerds, libvmaf is the quality-metric dependency that turns FFmpeg from a transcoder into a measurable codec lab. Its presence in package managers signals a mature media stack: SIMD-heavy native code, model files, Python tooling, and a bridge between academic video-quality research and production streaming workflows. ### Timeline - 2014-2015: Academic work on fusion-based and ensemble-learning video quality metrics appears in the VMAF reference list. - 2016-06: Netflix open-sources VMAF on GitHub. - 2016-12: Netflix adds AVX optimization to VMAF's convolution work. - 2018-06: Frame-level multithreading and frame skipping make practical high-resolution runs faster. - 2018-10-25: Netflix describes libvmaf packaging and FFmpeg filter adoption in a VMAF project update. - 2020-12-03: libvmaf v2.0.0 is released with a new optimized implementation and API. - 2023-12-07: libvmaf v3.0.0 removes APIs deprecated in v2.0.0. - 2026-06: Netflix announces VMAF model v1 documentation and model-selection guidance. ### Related projects - VMAF is closely related to FFmpeg, AOM codec test conditions, Netflix's Dynamic Optimizer work, CAMBI for banding detection, and traditional objective metrics such as PSNR, SSIM, MS-SSIM, and PSNR-HVS that are also exposed by the package. ### Sources - - - - ## Security Notes broad file, network, media, or database tool signal. - **Geiger risk:** blue / medium - broad file, network, media, or database tool signal ## Source Database Details - **Source Database:** Homebrew formula API - **Tap:** homebrew/core - **Full Name:** libvmaf - **Version Scheme:** 0 - **Revision:** 0 - **Bottle Stable Root URL:** - **Deprecated:** no - **Disabled:** no - **Keg Only:** no - **URL Keys:** stable ## Other Package-Manager Records - Nix - libvmaf: normalized package name match | nixpkgs package indexes: pkgs/by-name/li/libvmaf/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1 - apk - libvmaf - 3.0.0-r0: normalized package name match | Alpine Linux edge package indexes: libvmaf from https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz | Perceptual video quality assessment based on multi-method fusion | https://github.com/Netflix/vmaf - apk - libvmaf-dev - 3.0.0-r0: normalized package name match | Alpine Linux edge package indexes: libvmaf-dev from https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz | Perceptual video quality assessment based on multi-method fusion (development files) | https://github.com/Netflix/vmaf - dnf - libvmaf - 3.1.0-1.fc45: normalized package name match | Fedora Rawhide package metadata: libvmaf from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst | Library for vmaf | https://github.com/netflix/vmaf - MacPorts - libvmaf: normalized package name match | MacPorts ports tree: multimedia/libvmaf/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1 - dnf - libvmaf-devel - 3.1.0-1.fc45: installed executable or alias match | Fedora Rawhide package metadata: libvmaf-devel from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst | Development files for vmaf | https://github.com/netflix/vmaf - dnf - vmaf - 3.1.0-1.fc45: installed executable or alias match | Fedora Rawhide package metadata: vmaf from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst | Video Multi-Method Assessment Fusion | https://github.com/netflix/vmaf - dnf - vmaf-models - 3.1.0-1.fc45: installed executable or alias match | Fedora Rawhide package metadata: vmaf-models from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst | Model files for vmaf | https://github.com/netflix/vmaf - pacman - vmaf - 3.1.0-1: installed executable or alias match | Arch Linux sync databases: vmaf from https://geo.mirror.pkgbuild.com/extra/os/x86_64/extra.db.tar.gz | Perceptual video quality assessment algorithm based on multi-method fusion | https://github.com/Netflix/vmaf/ - zypper - libvmaf3 - 3.1.0-1.2: installed executable or alias match | openSUSE Tumbleweed package metadata: libvmaf3 from https://download.opensuse.org/tumbleweed/repo/oss/repodata/be8d3611d25469107f32075a1697e69ec57a2b850b42348a658cc671ad5ec2b50760d02c3e59524d50da9a11d5be799bdaffba2e166e8ca8858512e3c0bd665d-primary.xml.zst | Perceptual video quality assessment algorithm | https://github.com/Netflix/vmaf - zypper - libvmaf3-32bit - 3.1.0-1.2: installed executable or alias match | openSUSE Tumbleweed package metadata: libvmaf3-32bit from https://download.opensuse.org/tumbleweed/repo/oss/repodata/be8d3611d25469107f32075a1697e69ec57a2b850b42348a658cc671ad5ec2b50760d02c3e59524d50da9a11d5be799bdaffba2e166e8ca8858512e3c0bd665d-primary.xml.zst | Perceptual video quality assessment algorithm | https://github.com/Netflix/vmaf - zypper - vmaf - 3.1.0-1.2: installed executable or alias match | openSUSE Tumbleweed package metadata: vmaf from https://download.opensuse.org/tumbleweed/repo/oss/repodata/be8d3611d25469107f32075a1697e69ec57a2b850b42348a658cc671ad5ec2b50760d02c3e59524d50da9a11d5be799bdaffba2e166e8ca8858512e3c0bd665d-primary.xml.zst | Perceptual video quality assessment algorithm | https://github.com/Netflix/vmaf - zypper - vmaf-devel - 3.1.0-1.2: installed executable or alias match | openSUSE Tumbleweed package metadata: vmaf-devel from https://download.opensuse.org/tumbleweed/repo/oss/repodata/be8d3611d25469107f32075a1697e69ec57a2b850b42348a658cc671ad5ec2b50760d02c3e59524d50da9a11d5be799bdaffba2e166e8ca8858512e3c0bd665d-primary.xml.zst | Development tools for Video Multi-Method Assessment Fusion | https://github.com/Netflix/vmaf - Scoop - main/vmaf: installed executable or alias match | Scoop official bucket manifest trees: bucket/vmaf.json from https://api.github.com/repos/ScoopInstaller/Main/git/trees/master?recursive=1 ## Related links - [Source-control packages](https://www.automicvault.com/pkg/source-control-tools/) - Belongs to a source-control command family. - [Secret-risk packages](https://www.automicvault.com/pkg/secret-risk-packages/) - Has protected-tool coverage, approval-gate, or non-low Geiger security signals. - [Terminal utility packages](https://www.automicvault.com/pkg/terminal-utilities/) - Matched terminal and command-line workflow metadata. - [Networking and protocol packages](https://www.automicvault.com/pkg/networking-protocol-tools/) - Matched network, protocol, or remote-service metadata. - [meson](https://www.automicvault.com/pkg/brew/meson/) - Build dependency declared by Homebrew. - [ninja](https://www.automicvault.com/pkg/brew/ninja/) - Build dependency declared by Homebrew. - [aom](https://www.automicvault.com/pkg/brew/aom/) - Popular package that depends on this formula. - [ffmpeg](https://www.automicvault.com/pkg/brew/ffmpeg/) - Popular package that depends on this formula. - [ffmpeg-full](https://www.automicvault.com/pkg/brew/ffmpeg-full/) - Popular package that depends on this formula. - [ffmpeg@4](https://www.automicvault.com/pkg/brew/ffmpeg-4/) - Popular package that depends on this formula. - [gstreamer](https://www.automicvault.com/pkg/brew/gstreamer/) - Popular package that depends on this formula. - [ffms2](https://www.automicvault.com/pkg/brew/ffms2/) - Shares av.db curated category or tags: cli, library, media, video. - [libwebm](https://www.automicvault.com/pkg/brew/libwebm/) - Shares av.db curated category or tags: cli, library, media, video. - [smpeg](https://www.automicvault.com/pkg/brew/smpeg/) - Shares av.db curated category or tags: cli, library, media, video. - [zvbi](https://www.automicvault.com/pkg/brew/zvbi/) - Shares av.db curated category or tags: cli, library, media, video. - [bento4](https://www.automicvault.com/pkg/brew/bento4/) - Shares av.db curated category or tags: cli, media, video. - [ccextractor](https://www.automicvault.com/pkg/brew/ccextractor/) - Shares av.db curated category or tags: cli, media, video. - [dvanalyzer](https://www.automicvault.com/pkg/brew/dvanalyzer/) - Shares av.db curated category or tags: cli, media, video. - [dvr-scan](https://www.automicvault.com/pkg/brew/dvr-scan/) - Shares av.db curated category or tags: cli, media, video. - [video-compare](https://www.automicvault.com/pkg/brew/video-compare/) - Both packages work with overlapping file formats or content types. Shared terms: analysis, cli, media, video. ## Combined YAML source View the package source record on GitHub. [combined/libvmaf.yml](https://github.com/automic-vault/db/blob/main/combined/libvmaf.yml) ## Sources - Nucleus package database - Geiger risk classifier - package-page enrichment - curated package history - package version freshness - av.db category and tag curation - package relationship graph - external package-manager database matches - cross-ecosystem install command graph